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MIT 6.172 Performance Engineering of Software Systems, Fall 2010 (2010)

something has gone horribly wrong 8-p
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Instructors: Saman Amarasinghe, Charles Leiserson

Lecture videos for 6.172 Performance Engineering of Software Systems, Fall 2010. Also includes one session introducing industry mentors to 6.172.

View the complete course: http://ocw.mit.edu/6-172F10

License: Creative Commons BY-NC-SA
More information at http://ocw.mit.edu/terms
More courses at http://ocw.mit.edu


This movie is part of the collection: MIT OpenCourseWare

Audio/Visual: sound, color
Language: English
Keywords: performance analysis; algorithmic techniques; high performance; instruction level optimization; cache optimization; memory optimization; parallel programming; scalable distributed systems

Creative Commons license: Attribution-Noncommercial-Share Alike 3.0


Individual Files

Movie Files MPEG4 Ogg Video
Lecture 1: Matrix Multiply: A Case Study 152.4 MB
207.6 MB
Lecture 2: Bit Hacks 150.4 MB
206.9 MB
Lecture 3: Basic Performance Engineering 169.3 MB
221.0 MB
Lecture 4: Computer Architecture and Performance Engineering 138.5 MB
180.1 MB
Lecture 5: Performance Engineering with Profiling Tools 99.2 MB
151.2 MB
Lecture 6: C to Assembler 176.7 MB
234.8 MB
Lecture 7: Memory Systems and Performance Engineering 164.5 MB
232.2 MB
Lecture 8: Cache-Efficient Algorithms 155.4 MB
226.1 MB
Lecture 9: Cache-Efficient Algorithms II 180.8 MB
232.8 MB
Lecture 10: Dynamic Storage Allocation 170.4 MB
230.3 MB
Lecture 11: What Compilers Can and Cannot Do 158.2 MB
197.7 MB
Lecture 12: Multicore Programming 183.5 MB
156.6 MB
Lecture 13: Parallelism and Performance 178.5 MB
216.4 MB
Lecture 14: Analysis of Multithreaded Algorithms 187.8 MB
257.3 MB
Lecture 15: Nondeterministic Programming 182.5 MB
285.1 MB
Lecture 16: Synchronizing without Locks 193.2 MB
292.4 MB
Lecture 17: Performance Issues in Parallelization 140.7 MB
162.6 MB
Lecture 18: Primer on Ray Tracing Techniques 57.2 MB
76.9 MB
Lecture 19: How TokuDB Fractal Tree Indexes Work 174.4 MB
300.2 MB
Lecture 20: Distributed Systems 157.2 MB
204.6 MB
Lecture 21: Quiz 2 Review 134.3 MB
172.6 MB
Lecture 22: A Tale of 10 Bugs: Performance Engineering at Vmware 144.0 MB
220.6 MB
Lecture 23: Final Competition and Student Feedback 154.2 MB
275.2 MB
Industry mentor (MITPOSSE) overview 222.3 MB
386.6 MB
Image Files Thumbnail Animated GIF
Lecture 1: Matrix Multiply: A Case Study 5.9 KB
400.7 KB
Lecture 2: Bit Hacks 1.2 KB
388.8 KB
Lecture 3: Basic Performance Engineering 4.6 KB
398.5 KB
Lecture 4: Computer Architecture and Performance Engineering 3.3 KB
397.3 KB
Lecture 5: Performance Engineering with Profiling Tools 4.7 KB
406.7 KB
Lecture 6: C to Assembler 4.3 KB
388.7 KB
Lecture 7: Memory Systems and Performance Engineering 5.2 KB
402.8 KB
Lecture 8: Cache-Efficient Algorithms 5.1 KB
395.1 KB
Lecture 9: Cache-Efficient Algorithms II 3.4 KB
388.9 KB
Lecture 10: Dynamic Storage Allocation 3.9 KB
375.8 KB
Lecture 11: What Compilers Can and Cannot Do 4.5 KB
390.8 KB
Lecture 12: Multicore Programming 3.7 KB
382.3 KB
Lecture 13: Parallelism and Performance 5.2 KB
392.5 KB
Lecture 14: Analysis of Multithreaded Algorithms 4.9 KB
393.1 KB
Lecture 15: Nondeterministic Programming 5.2 KB
396.8 KB
Lecture 16: Synchronizing without Locks 4.7 KB
397.7 KB
Lecture 17: Performance Issues in Parallelization 5.0 KB
399.6 KB
Lecture 18: Primer on Ray Tracing Techniques 4.0 KB
359.7 KB
Lecture 19: How TokuDB Fractal Tree Indexes Work 4.7 KB
408.6 KB
Lecture 20: Distributed Systems 3.6 KB
383.7 KB
Lecture 21: Quiz 2 Review 3.4 KB
395.5 KB
Lecture 22: A Tale of 10 Bugs: Performance Engineering at Vmware 4.7 KB
377.2 KB
Lecture 23: Final Competition and Student Feedback 5.5 KB
406.5 KB
Industry mentor (MITPOSSE) overview 3.9 KB
401.5 KB
Information FormatSize
MIT6.172F10_files.xml Metadata [file]
MIT6.172F10_meta.xml Metadata 1.5 KB

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